Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA1E0E587865F35109F4DE4F1178F89B4260BC29ECFD9A301A88540E7CEC346BCA68A |
|
CONTENT
ssdeep
|
48:TuMIMoem6VIqSEKdhzPwg6T4KqXisfUPQ1mVFQXXxrPr0r:Tu/eReqS1dX6EKGfebQXhUr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc7333cccc33998c |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
808132b0b2b082b2 |
|
VISUAL
wHash
|
60713e7c3c7d4259 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
808132b0b2b082b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 42 techniques to evade detection by security scanners and make reverse engineering more difficult.